Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data
Brain-wide patterns in resting human brains, as either structured functional connectivity (FC) or recurring brain states, have been widely studied in the neuroimaging literature. In particular, resting-state FCs estimated over windowed timeframe neuroimaging data from sub-minutes to minutes using co...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-10-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811922005766 |
| _version_ | 1811310689985232896 |
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| author | Ali Fahim Khan Fan Zhang Guofa Shou Han Yuan Lei Ding |
| author_facet | Ali Fahim Khan Fan Zhang Guofa Shou Han Yuan Lei Ding |
| author_sort | Ali Fahim Khan |
| collection | DOAJ |
| description | Brain-wide patterns in resting human brains, as either structured functional connectivity (FC) or recurring brain states, have been widely studied in the neuroimaging literature. In particular, resting-state FCs estimated over windowed timeframe neuroimaging data from sub-minutes to minutes using correlation or blind source separation techniques have reported many brain-wide patterns of significant behavioral and disease correlates. The present pilot study utilized a novel whole-head cap-based high-density diffuse optical tomography (DOT) technology, together with data-driven analysis methods, to investigate recurring transient brain-wide patterns in spontaneous fluctuations of hemodynamic signals at the resolution of single timeframes from thirteen healthy adults in resting conditions. Our results report that a small number, i.e., six, of brain-wide coactivation patterns (CAPs) describe major spatiotemporal dynamics of spontaneous hemodynamic signals recorded by DOT. These CAPs represent recurring brain states, showing spatial topographies of hemispheric symmetry, and exhibit highly anticorrelated pairs. Moreover, a structured transition pattern among the six brain states is identified, where two CAPs with anterior-posterior spatial patterns are significantly involved in transitions among all brain states. Our results further elucidate two brain states of global positive and negative patterns, indicating transient neuronal coactivations and co-deactivations, respectively, over the entire cortex. We demonstrate that these two brain states are responsible for the generation of a subset of peaks and troughs in global signals (GS), supporting the recent reports on neuronal relevance of hemodynamic GS. Collectively, our results suggest that transient neuronal events (i.e., CAPs), global brain activity, and brain-wide structured transitions co-exist in humans and these phenomena are closely related, which extend the observations of similar neuronal events recently reported in animal hemodynamic data. Future studies on the quantitative relationship among these transient events and their relationships to windowed FCs along with larger sample size are needed to understand their changes with behaviors and diseased conditions. |
| first_indexed | 2024-04-13T10:03:27Z |
| format | Article |
| id | doaj.art-d5ffa131ea1f4a1cbcad83b156561497 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-13T10:03:27Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-d5ffa131ea1f4a1cbcad83b1565614972022-12-22T02:51:11ZengElsevierNeuroImage1095-95722022-10-01260119460Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging dataAli Fahim Khan0Fan Zhang1Guofa Shou2Han Yuan3Lei Ding4Stephenson School of Biomedical Engineering, University of Oklahoma, 110 W. Boyd St. DEH room 150, Norman, OK 73019, USAStephenson School of Biomedical Engineering, University of Oklahoma, 110 W. Boyd St. DEH room 150, Norman, OK 73019, USAStephenson School of Biomedical Engineering, University of Oklahoma, 110 W. Boyd St. DEH room 150, Norman, OK 73019, USAStephenson School of Biomedical Engineering, University of Oklahoma, 110 W. Boyd St. DEH room 150, Norman, OK 73019, USA; Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, USAStephenson School of Biomedical Engineering, University of Oklahoma, 110 W. Boyd St. DEH room 150, Norman, OK 73019, USA; Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, USA; Corresponding author at: Stephenson School of Biomedical Engineering, University of Oklahoma, 110 W. Boyd St. DEH room 150, Norman, OK 73019, USA.Brain-wide patterns in resting human brains, as either structured functional connectivity (FC) or recurring brain states, have been widely studied in the neuroimaging literature. In particular, resting-state FCs estimated over windowed timeframe neuroimaging data from sub-minutes to minutes using correlation or blind source separation techniques have reported many brain-wide patterns of significant behavioral and disease correlates. The present pilot study utilized a novel whole-head cap-based high-density diffuse optical tomography (DOT) technology, together with data-driven analysis methods, to investigate recurring transient brain-wide patterns in spontaneous fluctuations of hemodynamic signals at the resolution of single timeframes from thirteen healthy adults in resting conditions. Our results report that a small number, i.e., six, of brain-wide coactivation patterns (CAPs) describe major spatiotemporal dynamics of spontaneous hemodynamic signals recorded by DOT. These CAPs represent recurring brain states, showing spatial topographies of hemispheric symmetry, and exhibit highly anticorrelated pairs. Moreover, a structured transition pattern among the six brain states is identified, where two CAPs with anterior-posterior spatial patterns are significantly involved in transitions among all brain states. Our results further elucidate two brain states of global positive and negative patterns, indicating transient neuronal coactivations and co-deactivations, respectively, over the entire cortex. We demonstrate that these two brain states are responsible for the generation of a subset of peaks and troughs in global signals (GS), supporting the recent reports on neuronal relevance of hemodynamic GS. Collectively, our results suggest that transient neuronal events (i.e., CAPs), global brain activity, and brain-wide structured transitions co-exist in humans and these phenomena are closely related, which extend the observations of similar neuronal events recently reported in animal hemodynamic data. Future studies on the quantitative relationship among these transient events and their relationships to windowed FCs along with larger sample size are needed to understand their changes with behaviors and diseased conditions.http://www.sciencedirect.com/science/article/pii/S1053811922005766Diffuse optical tomographyBrain-wide patternsFunctional connectivityCoactivation patternsGlobal activityTransition |
| spellingShingle | Ali Fahim Khan Fan Zhang Guofa Shou Han Yuan Lei Ding Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data NeuroImage Diffuse optical tomography Brain-wide patterns Functional connectivity Coactivation patterns Global activity Transition |
| title | Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data |
| title_full | Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data |
| title_fullStr | Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data |
| title_full_unstemmed | Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data |
| title_short | Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data |
| title_sort | transient brain wide coactivations and structured transitions revealed in hemodynamic imaging data |
| topic | Diffuse optical tomography Brain-wide patterns Functional connectivity Coactivation patterns Global activity Transition |
| url | http://www.sciencedirect.com/science/article/pii/S1053811922005766 |
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